Physicists in Europe have quietly turned a classic holiday symbol into a cutting-edge experiment, 3D-printing a tiny ...

AISIR for Radar (Reasoned Response / System 2): Applies physics-constrained generative inference over time. It tests competing hypotheses using wave-consistent signal prediction, rejects physically ...

Researchers at the University of Warsaw have unveiled a breakthrough method for detecting and precisely calibrating terahertz ...

Plasma is usually introduced as the stuff of stars and fusion reactors, a searing soup of charged particles that has little in common with the ice in a household freezer. Yet new experiments show that ...

During the past years, with further confirmatory data arriving in twenty twenty five, every physical mechanism required for neutrinovoltaic conversion has been empirically validated and published in ...

A research team has created a quantum antenna capable of precisely measuring terahertz frequency combs for the first time. A research team from the Faculty of Physics and the Centre for Quantum ...

Abstract: An unsupervised machine learning method, referred to as the physics-aware generative adversarial network (PAGAN), is proposed for synthesizing a desired beam pattern by optimizing and ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...

ABSTRACT: In this paper, a design of a miniature antenna for biomedical implant applications is presented. The proposed structure consists of a printed antenna designed to cover all frequency bands ...

Radio antennas are widely used in the field of particle astrophysics in searches for ultra-high energy cosmic rays (UHECR) and neutrinos (UHEN). It is therefore necessary to properly describe the ...

Abstract: This work introduces a novel approach for predicting the complex element weights of a rectangular planar phased array for a desired beam pattern using physics-aware convolutional neural ...